# What are the best ecommerce personalization engines for dynamic recommendations?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi, ecommerce folks on G2, this one's for you. I'm mapping the best personalization engines for e-commerce, specifically dynamic recommendations that respond to the shopper in front of them, and a shift is worth naming first: search vendors are now showing up in personalization shortlists, because "what to show this shopper" and "what this shopper searched" are converging into one relevance problem. </p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">From the<a class="a a--md" elv="true" href="https://www.g2.com/categories/personalization-engines"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/personalization-engines">Personalization Engines</a> category, the shortlist half-writes itself, <strong>Bloomreach</strong>, <strong>Dynamic Yield</strong>, <strong>Nosto</strong>, plus two crossing over from search:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bloomreach-bloomreach/reviews"><strong>Bloomreach</strong></a> (4.6, 735+ reviews): commerce-native recs on a real-time data layer; strongest where merchandising and marketing share one platform.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynamic-yield/reviews"><strong>Dynamic Yield</strong></a> (4.5, 155+ reviews): reviewers rate its product recommendations 9.4, the highest signal in this set for the exact question asked.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/nosto/reviews"><strong>Nosto</strong></a> (4.6, 235+ reviews): the ecommerce pure-play, quickest path from install to conversion-rate impact for smaller teams.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/algolia/reviews"><strong>Algolia</strong></a> (4.5, 440+ reviews): a search platform by category, entering these shortlists as search results themselves become personalized surfaces.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/constructor-io/reviews"><strong>Constructor</strong></a> (4.8, 55+ reviews): enterprise commerce search built on shopper-intent learning; small review base, striking scores.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">What's missing here, and does anyone else see search and personalization collapsing into one buying decision?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 23 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d probably add Adobe Target to the conversation for larger teams. And yes, I do think search and personalization are starting to blur together, especially when the same behavioral data is driving both recommendations and ranked search results.&lt;/p&gt;

##### Comment Metadata
- Posted at: 17 days ago
- Author title: Marketer





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